The Astrophysical Multipurpose Software Environment

Abstract

We present the open source Astrophysical Multi-purpose Software Environment (AMUSE, www.amusecode.org), a component library for performing astrophysical simulations involving different physical domains and scales. It couples existing codes within a Python framework based on a communication layer using MPI. The interfaces are standardized for each domain and their implementation based on MPI guarantees that the whole framework is well-suited for distributed computation. It includes facilities for unit handling and data storage. Currently it includes codes for gravitational dynamics, stellar evolution, hydrodynamics and radiative transfer. Within each domain the interfaces to the codes are as similar as possible. We describe the design and implementation of AMUSE, as well as the main components and community codes currently supported and we discuss the code interactions facilitated by the framework. Additionally, we demonstrate how AMUSE can be used to resolve complex astrophysical problems by presenting example applications.

23 pages, 25 figures, accepted for A&A

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Cited by in corpus (151)

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• Effect of mass loss due to stellar winds on the formation of supermassive black hole seeds in dense nuclear star clusters
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• Simulating stellar winds in AMUSE
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• Massive star cluster formation III. Early mass segregation during cluster assembly
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• Using Molecular Gas Observations to Guide Initial Conditions for Star Cluster Simulations
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